An object-oriented representation for efficient reinforcement learning

Proceedings of the 25th International Conference on Machine Learning

Volumn , Issue , 2008, Pages 240-247

  Diuk, Carlso ^a   Cohen, Andre ^a   Littman, Michael L ^a  

^a RUTGERS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; MACHINE LEARNING; TAXICABS; EDUCATION; LEARNING SYSTEMS; REINFORCEMENT; REINFORCEMENT LEARNING; ROBOT LEARNING;

MODELING ENVIRONMENTS; OBJECT ORIENTED; OBJECT-ORIENTED REPRESENTATION; PERFORMANCE GAIN; POLYNOMIAL BOUNDS; SAMPLE COMPLEXITY;

REINFORCEMENT LEARNING; LEARNING ALGORITHMS;

MODELING ENVIRONMENTS; PERFORMANCE GAINS; POLYNOMIAL BOUNDS; SAMPLE COMPLEXITY; STATE SPACES;

EID: 56449093331     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390187     Document Type: Conference Paper

References (8)

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8. van Otterlo, M. (2005). A survey of reinforcement learning in relational domains (Technical Report TR-CTIT-05-31). CTIT Technical Report Series, ISSN 1381-3625.